摘要
强调应用服务集成的服务网格具有明显的分布性,因此,网格中的任务调度就必然要考虑多种与时间相关的因素。该文充分考虑服务网格任务调度过程中的时间优化问题,用微粒群算法来分析网格中任务调度模型的性能,并通过分析和模拟,反映此算法能够满足用户时间上的限制,使任务的完成时间尽可能缩短。
The service grid emphasizing application service integration has distributed nature,which results in considering many factors relat-ing to time for task scheduling in service grid.The paper gives full consideration to time optimization of the task scheduling in service grid,and the Particle Swarm Algorithm(PSO)-is proposed to analyzes the performance the task scheduling model in the grid.Finally,the analysis and simulation results show the the model and the algorithm can satisfy fully the time restriction of the users and can shorten the task implementation time as far as possible.
出处
《电脑知识与技术(过刊)》
2010年第11X期9143-9145,共3页
Computer Knowledge and Technology
关键词
服务网格
分布性
任务调度
微粒群算法
service grid
distribution
task scheduling
particle swarm optimization algorithm